Code Review Graph vs QA Boutique

Code Review Graph and QA Boutique are both coding assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Code Review Graph

The tool builds a dependency graph of your codebase locally, then exposes that graph through MCP so Claude Code, Cursor, or any compatible assistant can ask targeted questions: which files are affected by this change, what is the impact radius, which communities cluster around this module. For large monorepos, this is the difference between a useful review context and a truncated one. The analysis runs entirely on your machine — no source code leaves the environment. The gap shows up when you need deep semantic understanding beyond structural imports; graph topology tells you what calls what, not whether the logic is correct.

QA Boutique

The tool analyzes PR diffs on submission, surfaces logical bugs, and produces Playwright or Pytest test cases scoped to what actually changed — not the whole codebase. Alerts route to Slack or Telegram so the feedback lands where your team already works. Repo-specific coding and testing standards can be configured, which keeps the suggestions grounded in your conventions rather than generic best practices. The vendor offers ten free PR analyses with no credit card required. Teams scaling beyond that ceiling, or running high-frequency CI/CD pipelines with dozens of daily PRs, hit the paid tier wall fast.

Attribute	Code Review Graph	QA Boutique
Pricing	Free	Paid
Price	—	$99/mo
Free trial	No	No
Open source	Yes	No
Has API	Yes	No
Self-hosted option	Yes	No
Platforms	Linux, macOS, Windows (Python 3.10+)	Web, Slack, Telegram
Released	2023	—
Pros	Reads only changed files and their structural dependencies rather than entire repositories, so your AI assistant's context window goes toward relevant code instead of noise from unrelated modules. Impact radius scoring on change analysis, so reviewers see which downstream files carry the highest risk before opening a single one — rather than manually tracing imports across a large graph. Fully local execution with no cloud dependency, so source code never leaves the environment — a hard requirement for teams under data residency or confidentiality constraints. MIT-licensed with no paid tier and pip installation, so there is no procurement gate, no usage cap, and no feature that unlocks only when you upgrade. Unified graph model across multiple languages, so a polyglot monorepo gets consistent structural queries without separate tooling per language stack.	Diff-scoped test generation in Playwright or Pytest, so engineers get working test scaffolding for exactly what changed rather than spending a sprint writing coverage from scratch. Slack and Telegram alert routing for risky changes, which means risk signals surface in the tool your team reads instead of accumulating unseen in a review dashboard. Repo-specific coding and testing standard configuration, so generated suggestions match your conventions and tech leads stop repeating the same review comments across PRs. No credit card required to start, so teams can validate whether the diff analysis catches their class of bugs before committing to a paid subscription. Native GitHub and GitLab integration, which means setup fits into an existing CI/CD pipeline without introducing a new deployment or webhook infrastructure.
Cons	The graph captures import and call structure, not runtime behavior or semantic intent — questions like 'does this change break business logic in the billing module' return no useful answer, and teams with that requirement add a dedicated semantic search tool, maintaining two systems in parallel. MCP is the only consumption interface; development environments without MCP support get nothing from this tool. Teams using IDE plugins or assistants that do not expose MCP cannot integrate it without building a custom bridge. Community detection and architecture overview queries return structural clusters, which require a developer to interpret the output against domain knowledge — for teams onboarding to an unfamiliar codebase, the graph answers 'what talks to what' but not 'why.' Teams that need the 'why' typically switch to tools that ingest documentation and comments alongside the dependency graph.	The one-shot diff analysis model has no visibility into code outside the changed files — logic bugs that depend on upstream service behavior or cross-file state mutations are not caught, and teams dealing with distributed systems end up running a separate static analysis pass anyway, which undercuts the time saved. Ten free analyses is a hard ceiling that a team shipping daily exhausts in under two weeks, at which point the value proposition depends entirely on whether the paid tier cost clears the finance approval process — teams that cannot get budget approval mid-sprint revert to manual review with no fallback automation in place. No API and no self-hosted option means every PR diff transits vendor infrastructure; teams operating under strict IP confidentiality requirements or regulated-data environments cannot use the tool without a compliance review, and several will be told no outright — at which point self-hostable alternatives like open-source code review agents running on internal infrastructure become the only path forward.

Bottom line

Code Review Graph is free while QA Boutique is paid; Code Review Graph is open source; only Code Review Graph exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Code Review Graph and QA Boutique?

Code Review Graph is Free and open source, while QA Boutique is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Code Review Graph better than QA Boutique?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.